A simplified power consumption model of information technology (IT) equipment in data centers for energy system real-time dynamic simulation

Author:

Cheung HowardORCID,Wang Shengwei,Zhuang ChaoqunORCID,Gu Jiefan

Funder

Hong Kong Polytechnic University

Research Institute for Sustainable Urban Development, Hong Kong Polytechnic University

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference65 articles.

1. Growth in data center electricity use 2005 to 2010;Koomey,2011

2. Shehabi A et al. United States Data Center Energy Usage Report. Lawrence Berkeley National Laboratory, Berkeley, California, LBNL-1005775; 2016 [Online]. Available: [Accessed: 07–July–2016].

3. Emerson Network Power. Energy logic: reducing data center energy consumption by creating savings that cascade across systems. A White Paper from the Experts in Business-Critical Continuity; 2008.

4. Cheung IH, Greenberg S, Mahdavi R, Brown R, Tschudi W. Energy efficiency in small server rooms: field surveys and findings. In: 2014 ACEEE summer study on energy efficiency in buildings, Pacific Grove, CA, 2014 [Online]. Available: [Accessed: 16–December–2016].

5. Data center energy consumption modeling: a survey;Dayarathna;IEEE Commun Surv Tutor,2016

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